Real-time eye ratio tracking for drowsiness detection based on machine vision and facial landmarks

The article proposes a real-time algorithm to detect the drowsiness phenomenon based on a standard camera. Face landmarks are identified, especially around the subject's eyes. On that basis, a scale function from extracting scalar quantities of face landmarks is calculated representing realtime eye-opening and closing times.
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Real-time eye ratio tracking for drowsiness detection based on machine vision and facial landmarks